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Intelligent Database 
Systems Lab. 
현 순 주 
2014.09.18 (목)
Lab Members 
• Professor 
– Hyun, Soon Joo 
• sjhyun@kaist.ac.kr 
• #804, ITC Bldg. (N1) 
• Tel. 350-3563 (office) 
• Students 
– 3 Ph.D. students 
– 3 M.S. students 
– 2 foreigner interns 
– Office 
• #822, ITC Bldg. (N1) 
• Tel. 350-7763 
• Homepage 
– http://idb.kaist.ac.kr 
2 
http://idb.kaist.ac.kr/members
Lab Annual Activity 
• Home-coming Day • Winter Workshop 
3 
http://idb.kaist.ac.kr/gallery
Research Interest (1/2) 
• Context-aware Computing 
4 
데이터 수집(Collection) 
데이터 전처리(Preprocessing) 
데이터 변환(Transformation) 
데이터 분석(Mining) 
데이터 해석 및 평가
Research Interest (1/2) 
• Social-aware 
Computing 
– Multi-dimensional 
context 
– User interest 
inference 
– Collaborative 
group 
identification 
– Serendipitous 
interaction 
recommendatio 
n 
5 
[Interaction Opportunity Discovery 
in Public Places]
Research Interest (2/2) 
• Sensor Database : WSN as database 
Applications | Habitat monitoring, disaster surveillance, military 
supports, patient monitoring, etc. 
6 
Query/ 
Result 
Sensor 
Database 
Query/Result 
Traditiona 
l DBMS 
Storage 
(Databas 
e) 
Wireless Sensor Network 
Sensor 
Node 
(Virtual) Storage 
Query/ 
Result
Research Interest (2/2) 
• Sensor Network Query Language and 
Processor (SNQL) 
7
Research Interest (2/2) 
• Dr.M health-care 
Gym 
8 
조도센서 
심장박동 센서 
가속도 센서 
심장박동 센서 
혈압계 
스마트폰
Ongoing Projects 
• http://idb.kaist.ac.kr/index.php?mid 
=page_Projects 
9
10

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KAIST 전산학과 iDBLab 소개 20140918-발표용

  • 1. Intelligent Database Systems Lab. 현 순 주 2014.09.18 (목)
  • 2. Lab Members • Professor – Hyun, Soon Joo • sjhyun@kaist.ac.kr • #804, ITC Bldg. (N1) • Tel. 350-3563 (office) • Students – 3 Ph.D. students – 3 M.S. students – 2 foreigner interns – Office • #822, ITC Bldg. (N1) • Tel. 350-7763 • Homepage – http://idb.kaist.ac.kr 2 http://idb.kaist.ac.kr/members
  • 3. Lab Annual Activity • Home-coming Day • Winter Workshop 3 http://idb.kaist.ac.kr/gallery
  • 4. Research Interest (1/2) • Context-aware Computing 4 데이터 수집(Collection) 데이터 전처리(Preprocessing) 데이터 변환(Transformation) 데이터 분석(Mining) 데이터 해석 및 평가
  • 5. Research Interest (1/2) • Social-aware Computing – Multi-dimensional context – User interest inference – Collaborative group identification – Serendipitous interaction recommendatio n 5 [Interaction Opportunity Discovery in Public Places]
  • 6. Research Interest (2/2) • Sensor Database : WSN as database Applications | Habitat monitoring, disaster surveillance, military supports, patient monitoring, etc. 6 Query/ Result Sensor Database Query/Result Traditiona l DBMS Storage (Databas e) Wireless Sensor Network Sensor Node (Virtual) Storage Query/ Result
  • 7. Research Interest (2/2) • Sensor Network Query Language and Processor (SNQL) 7
  • 8. Research Interest (2/2) • Dr.M health-care Gym 8 조도센서 심장박동 센서 가속도 센서 심장박동 센서 혈압계 스마트폰
  • 9. Ongoing Projects • http://idb.kaist.ac.kr/index.php?mid =page_Projects 9
  • 10. 10

Notas do Editor

  1. 그렇다면, 센서 네트워크를 하나의 가상 데이터베이스로 간주하고, 이 네트워크에 application의 사용자가 작성한 SQL과 비슷한 쿼리를 배포하는 것으로 쿼리의 결과를 수집할 수 있는 이른바 ‘센서 데이터베이스’ 를 생각해 볼 수 있습니다. 이에 대해 센서 네트워크에서 센서 데이터베이스와 관련된 쿼리 프로세싱에 대한 연구가 이뤄지고 있습니다.
  2. MiRE4OWL Light-weight design Enable runtime rule and query binding Dynamic memory allocation & de-allocation for facts Pure Rete pattern matching algorithm Minimize memory usage for performance enhancement OWL-DL entailment rule Two kinds of negations and quantifiers Classical Negation & Negation-as-Failure Existential Quantifiers & Universal Quantifiers Support own query formalism